My research combines machine learning and linguistics to build natural language processing systems that are robust to contextual variation and offer new insights about social phenomena.
A complete list of publications can be found here, on Google scholar, and on Semantic scholar.
Here are some current themes and highlights:
- Making NLP robust to language variation
- Structure and dynamics of language change in online media
- You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech. Chandrasekharan, Pavalanathan, Srinivasan, Glynn, Eisenstein, Gilbert. Proceedings of the ACM Human-Computer Interaction, to be presented at CSCW 2018.
- A kernel independence test for geographical language variation. Nguyen and Eisenstein. Accepted to Computational Linguistics (MIT Press), 2017. [code]
- The social dynamics of language change in online networks. Goel, Soni, Goyal, Paparrizos, Wallach, Diaz, and Eisenstein. International Conference on Social Informatics (SocInfo), 2016.
- Audience-modulated variation in online social media. Pavalanathan and Eisenstein. American Speech, May 2015. [preprint]
- Systematic patterning in phonologically-motivated orthographic variation. Eisenstein. Journal of Sociolinguistics, April 2015. [preprint]
- Diffusion of lexical variation in online social media. Eisenstein, O'Connor, Smith, and Xing. PLOS-ONE, November 2014. [pdf]
- Computational models of social interactional meaning
- A Multidimensional Lexicon for Interpersonal Stancetaking. Pavalanathan, Fitzpatrick, Kiesling, and Eisenstein. ACL 2017.
- More emojis, less :) The competition for paralinguistic functions in microblog writing. Pavalanathan and Eisenstein. First Monday, 22(11), November 2016.
- “You're Mr. Lebowski, I'm the Dude”: Inducing address term formality in signed social networks. Krishnan and Eisenstein. NAACL 2015 (best student paper!).
- Gender identity and lexical variation in social media. Bamman, Eisenstein, and Schnoebelen. Journal of Sociolinguistics, April 2014. [preprint]
- Multi-level representation learning for NLP
- Spring 2018: CS 4650/7650, Natural Language Processing
- Fall 2017: CS 8803-CSS, Computational Social Science
- Spring 2017: CS 4650/7650, Natural Language Processing
- Spring 2016: CS4464/6465, Computational Journalism
- Fall 2015: CS 4650/7650, Natural Language Processing
- Spring 2015: CS 8803-CSS, Computational Social Science
- Fall 2014: CS 4650/7650 Natural Language Processing
- Spring 2014: CS 8803, Computational Social Science
- Fall 2013: CS 4650/7650, Natural Language Processing
- Spring 2013: CS 4650/7650, Natural Language Processing
- Spring 2012: CS 4650/7650, Natural Language Processing
Recent and upcoming presentations
- Bridging disciplines in analysing text as social and cultural data, London, September 2017.
- MLConf Atlanta, September 2017. [slides]
- ACL Workshop on Representation Learning for NLP (invited keynote), Vancouver, July 2017. [slides]
- University of Colorado, June 2017.
- Georgetown University, April 2017. [slides]
- Massachusetts Institute of Technology, March 2017.
- University of Twente, Netherlands, March 2017.
- Princeton University, February 2017.
- AAAI, San Francisco, February 2017.
- Carnegie Mellon University, December 2016.
- EMNLP, Austin, November 2016.
- Co-chair: 2016 EMNLP Workshop on NLP and Computational Social Science.
- Co-chair: 2014 ACL Workshop on Language Technologies and Computational Social Science
- Co-chair: 2013-2015 Atlanta Workshop on Computational Social Science
- Area chair: NAACL 2018, EMNLP 2017, NAACL 2016, ACL 2014, EACL 2013
- Tutorial co-chair: ACL 2018, NAACL 2012
- Coordinator/chair/czar of student research workshop, awards, and/or volunteers: NAACL 2016, ICML 2013, NAACL 2013
- Program committees (past 12 months): ACL, CONLL, EMNLP, ICML, NAACL, NIPS. All these venues are open-access (OA).
- Editorial boards: Linguistic Issues in Language Technology (OA), Language Variation series at Language Science Press (OA), Computational Linguistics (OA)
- Journal Reviewing: Communications of the ACM, Computational Linguistics (OA), Journal of Machine Learning Research (OA), Journal of Artificial Intelligence Research (OA), Machine Learning Journal, Transactions of the Association of Computational Linguistics (OA), Journal of the American Statistical Association, Language in Society, Proceedings of the National Academy of Science, Digital Scholarship in the Humanities, ...
- I prefer that my reviewing effort goes towards papers that everyone can read. So I usually will not review for venues that are non-OA, unless I submit papers there myself.
Georgia Tech affiliations